usafiri-mcp
Usafiri MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. usafiri-mcp.
MCP server for Kenya transport — matatu routes, NTSA services, boda-boda licensing, freight logistics, and passenger rights. 5 tools.
Installation goes through your MCP client rather than a global install: point it at usafiri-mcp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Once Usafiri is connected, these are the calls the assistant has available:
Datasets — ** huggingface.co/gmahia · Docs hub: nairobi-stackThis sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Usafiri's toolset — Datasets — is a fair guide to whether it matches your workflow. It is maintained by gabrielmahia; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Usafiri's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Datasets | ** [huggingface.co/gmahia](https://huggingface.co/gmahia) · **Docs hub:** [nairobi-stack](https://github.com/gabrielmahia/nairobi-stack) |
{
"mcpServers": {
"usafiri": {
"command": "uvx",
"args": ["usafiri-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.